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Field
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experience in or interest in working with R/Python. You can demonstrate very good writing skills. You can demonstrate a proactive attitude. You have good communication skills, and a collaborative and
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experience of data science analytical packages and R or Python would be advantageous. Funding The project is funded by the UKHSA and Nottingham University Business School. As a UK public body, UKHSA can only
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manuscripts, and advanced documented knowledge in the use of R, Stata or other analytical software are considered extra merit. Working knowledge of Swedish is preferable but not mandatory. Place of work: Umeå
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https://doi.org/10.1111/2041-210X.14460 [3] Papadopoulou, M., et al. (2023) Phil Trans R Soc https://doi.org/10.1098/rstb.2022.0068 [4] Papadopoulou, M. et al., In: From Animals to Animats 17. SAB 2024
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and phylogenetic comparative analyses using R or Python Present research findings at scientific meetings and symposia Prepare and contribute to the publication of results in peer-reviewed journals Your
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into longitudinal studies and in using functional MRI and scripting-based languages (e.g. Matlab, R, Python). They must also have experience of conducting research with human participants and of performing highly
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experience with programming tools such as R or Python. An interest in acquiring new data science and programming skills is required. A keen interest in teaching and academic development. An excellent academic
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or equivalent experience in a research-intensive environment such as a university, national laboratory, or industry R&D. Hands-on experience with advanced semiconductor research infrastructure (e.g., cleanroom
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Strong publication record A keen and documented interest in the research agenda of the project Experience with analysis of longitudinal data and related data management Proficiency in using Stata and/or R
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(e.g. Julia, Python, R) are a requirement Good programming skills in a low level language (e.g. C/C++, Fortran) will be considered advantageous Our offer A vibrant research community in an open, diverse